Triple

T14660758
Position Surface form Disambiguated ID Type / Status
Subject Kempegowda Bus Station E344230 entity
Predicate alsoKnownAs P39 FINISHED
Object KBS
KBS is a major bus terminal in Bengaluru, India, serving as one of the city’s primary hubs for intra-city and inter-city bus transport.
 E1112370 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KBS | Statement: [Kempegowda Bus Station, alsoKnownAs, KBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KBS
Context triple: [Kempegowda Bus Station, alsoKnownAs, KBS]
  • A. KBS
    KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
  • B. Seoul Broadcasting System
    Seoul Broadcasting System is a major South Korean television and radio network known for its popular dramas, variety shows, and news programming.
  • C. KBS Kyoto
    KBS Kyoto is a Japanese television station based in Kyoto that broadcasts a variety of local and syndicated programming, including anime series.
  • D. Korean Central Television
    Korean Central Television is North Korea’s main state-run television broadcaster, known for tightly controlled news, propaganda, and cultural programming.
  • E. MBC
    MBC is a major South Korean television network known for broadcasting a wide range of entertainment, news, and cultural programs domestically and internationally.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KBS
Triple: [Kempegowda Bus Station, alsoKnownAs, KBS]
Generated description
KBS is a major bus terminal in Bengaluru, India, serving as one of the city’s primary hubs for intra-city and inter-city bus transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KBS
Target entity description: KBS is a major bus terminal in Bengaluru, India, serving as one of the city’s primary hubs for intra-city and inter-city bus transport.
  • A. KBS
    KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
  • B. Seoul Broadcasting System
    Seoul Broadcasting System is a major South Korean television and radio network known for its popular dramas, variety shows, and news programming.
  • C. KBS Kyoto
    KBS Kyoto is a Japanese television station based in Kyoto that broadcasts a variety of local and syndicated programming, including anime series.
  • D. Korean Central Television
    Korean Central Television is North Korea’s main state-run television broadcaster, known for tightly controlled news, propaganda, and cultural programming.
  • E. MBC
    MBC is a major South Korean television network known for broadcasting a wide range of entertainment, news, and cultural programs domestically and internationally.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51c84448190a1f5fa9ab8a1e2c4 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e28f848190a3d686bc11336601 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd65a6c24819088fb18ffcdfe6404 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd6f172288190ba7097518b1a971e completed May 8, 2026, 12:28 p.m.
Created at: April 10, 2026, 1:27 a.m.